{
  "abstract": "Introduction Cerebral glucose hypometabolism has been identified in Alzheimer’s disease (AD) prior to symptom onset. Dynamic fluorodeoxyglucose-positron emission tomography (FDG-PET) and Amyloid-PET provide kinetic and functional assessment of early pathological changes in AD.Methods A scoping review was performed using PubMed and OVID database. A structured search strategy was created and systematically reviewed to include papers published up until September 2 nd, 2024. Title and abstracts were screened to include relevant literature, and bibliographies were also searched to identify other relevant literature.Results A total of 36 papers were included from the search strategy, and a further 7 from screening bibliographies. A significant reduction of CMRgluc was seen across all cortical brain regions in AD compared to healthy controls, most significantly in the frontal, parietal, and temporal lobes. A reduction of k1 and k3 was also evident in these regions. Dynamic Amyloid-PET scans have found comparable metabolic distribution patterns to FDG-PET and have the additional benefit of being able to identify regions of amyloid binding and deposition.Key messages Using dynamic PET to understand the kinetic properties FDG and Amyloid tracer enables early diagnosis of AD, monitoring of progression, prompt initiation, and monitoring of treatments.smph-west-operational@sheffield.ac.uk",
  "authors": [
    {
      "affiliations": [
        "SITRAN, University of Sheffield"
      ],
      "name": "Ramnarine Isabella VP"
    },
    {
      "affiliations": [
        "SITRAN, University of Sheffield"
      ],
      "name": "Herholz Karl"
    },
    {
      "affiliations": [
        "Clinical Medicine, School of Medicine and Population Health, University of Sheffield"
      ],
      "name": "Armitage Paul"
    },
    {
      "affiliations": [
        "SITRAN, University of Sheffield"
      ],
      "name": "Bell Simon M"
    }
  ],
  "title": "73 Dynamic PET scanning in alzheimer’s disease- the old and the new",
  "uid": "ceabf387-2ec6-5c13-bfe3-009cca302966"
}